Vincent Marklynn
commited on
Commit
•
f151f60
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Parent(s):
0bbfd04
Added all folders for trainer
Browse files- .DS_Store +0 -0
- README.md +67 -0
- checkpoint-100/config.json +70 -0
- checkpoint-100/generation_config.json +16 -0
- checkpoint-100/optimizer.pt +3 -0
- checkpoint-100/pytorch_model.bin +3 -0
- checkpoint-100/rng_state.pth +3 -0
- checkpoint-100/scheduler.pt +3 -0
- checkpoint-100/trainer_state.json +81 -0
- checkpoint-100/training_args.bin +3 -0
- checkpoint-40/config.json +70 -0
- checkpoint-40/generation_config.json +16 -0
- checkpoint-40/optimizer.pt +3 -0
- checkpoint-40/pytorch_model.bin +3 -0
- checkpoint-40/rng_state.pth +3 -0
- checkpoint-40/scheduler.pt +3 -0
- checkpoint-40/trainer_state.json +42 -0
- checkpoint-40/training_args.bin +3 -0
- config.json +70 -0
- logs/1676495522.2427351/events.out.tfevents.1676495522.vincents-mbp.lan.89895.1 +3 -0
- logs/events.out.tfevents.1676495522.vincents-mbp.lan.89895.0 +3 -0
- logs/events.out.tfevents.1676499629.vincents-mbp.lan.89895.2 +3 -0
- merges.txt +0 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +65 -0
- vocab.json +0 -0
.DS_Store
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Binary file (8.2 kB). View file
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: bart-large-cnn-samsum-acsi-ami
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bart-large-cnn-samsum-acsi-ami
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This model is a fine-tuned version of [philschmid/bart-large-cnn-samsum](https://huggingface.co/philschmid/bart-large-cnn-samsum) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.1361
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- Rouge1: 39.7563
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- Rouge2: 11.1286
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- Rougel: 23.2632
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- Rougelsum: 36.5664
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- Gen Len: 108.15
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| No log | 1.0 | 20 | 3.2095 | 39.8174 | 11.5559 | 24.0296 | 36.3048 | 108.5 |
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| No log | 2.0 | 40 | 3.1361 | 39.7563 | 11.1286 | 23.2632 | 36.5664 | 108.15 |
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| No log | 3.0 | 60 | 3.1599 | 41.79 | 12.0967 | 23.5336 | 37.6859 | 122.95 |
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| No log | 4.0 | 80 | 3.2878 | 42.3161 | 12.2801 | 23.9352 | 38.2391 | 122.7 |
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| No log | 5.0 | 100 | 3.3671 | 40.7968 | 10.7336 | 22.9434 | 36.4383 | 129.225 |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.13.1
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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checkpoint-100/config.json
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{
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"_name_or_path": "philschmid/bart-large-cnn-samsum",
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_final_layer_norm": false,
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"architectures": [
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"BartForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"classif_dropout": 0.0,
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"classifier_dropout": 0.0,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 12,
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"decoder_start_token_id": 2,
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"dropout": 0.1,
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"early_stopping": true,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 12,
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"eos_token_id": 2,
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"force_bos_token_to_be_generated": true,
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"forced_bos_token_id": 0,
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"forced_eos_token_id": 2,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"length_penalty": 2.0,
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"max_length": 142,
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"max_position_embeddings": 1024,
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"min_length": 56,
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"model_type": "bart",
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"no_repeat_ngram_size": 3,
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"normalize_before": false,
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"num_beams": 4,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"prefix": " ",
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"scale_embedding": false,
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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 142,
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"min_length": 56,
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"no_repeat_ngram_size": 3,
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"num_beams": 4
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.26.0",
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"use_cache": true,
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"vocab_size": 50264
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}
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checkpoint-100/generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"early_stopping": true,
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"eos_token_id": 2,
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"forced_bos_token_id": 0,
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"forced_eos_token_id": 2,
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"length_penalty": 2.0,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"pad_token_id": 1,
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"transformers_version": "4.26.0"
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}
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checkpoint-100/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:bbceb293d117c8f8f42f2fdd69f7ea55ec77450a1dd239d35f6e82b386daaf09
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size 3250609115
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checkpoint-100/pytorch_model.bin
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checkpoint-100/rng_state.pth
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size 13617
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checkpoint-100/scheduler.pt
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checkpoint-100/trainer_state.json
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{
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"best_metric": 3.1361048221588135,
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"best_model_checkpoint": "bart-large-cnn-samsum-acsi-ami/checkpoint-40",
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"epoch": 5.0,
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"global_step": 100,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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},
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{
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"step": 40
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},
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{
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"epoch": 3.0,
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"eval_gen_len": 122.95,
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"eval_loss": 3.1599366664886475,
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"eval_rouge2": 12.0967,
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"eval_rougeL": 23.5336,
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"eval_rougeLsum": 37.6859,
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"eval_runtime": 217.8522,
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"step": 60
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},
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{
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"step": 80
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},
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{
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}
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],
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"max_steps": 100,
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}
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checkpoint-100/training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 3643
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checkpoint-40/config.json
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58 |
+
"__type": "AddedToken",
|
59 |
+
"content": "<unk>",
|
60 |
+
"lstrip": false,
|
61 |
+
"normalized": true,
|
62 |
+
"rstrip": false,
|
63 |
+
"single_word": false
|
64 |
+
}
|
65 |
+
}
|
vocab.json
ADDED
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|